Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.6 * weight - 23
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BERDOS Oleg | 68 |
| 2 | HRISTOV Stefan Koychev | 57 |
| 3 | VASYLYUK Andriy | 65 |
| 8 | PREVAR Oleksandr | 64 |
| 10 | HATANAKA Yusuke | 72 |
| 11 | NYCH Artem | 74 |
| 12 | SHUSHEMOIN Alexandr | 62 |
| 15 | IRIBE Shotaro | 61 |
| 17 | GROSU Eduard-Michael | 68 |
| 19 | KVACHUK Oleksandr | 68 |
| 21 | BALKAN Serkan | 64 |
| 24 | ZEMLYAKOV Oleg | 70 |
| 25 | NECHITA Andrei | 71 |
| 27 | KUSTADINCHEV Roman | 66 |